← serff.ai

INDIVIDUAL MCP TOOL

get_filing_source_file_link

Returns a short-lived **V4-signed GCS URL** for a single SOURCE file (PDF / XLSM / XLSX / DOC / ZIP) the carrier submitted for a SERFF filing.

serff.ainone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests retrieving external content.

Parent endpoint

serff.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.serff-filings-mcp]
url = "https://api.serff.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "serff-filings-mcp": {
      "type": "http",
      "url": "https://api.serff.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: serff-filings-mcp
Remote MCP URL: https://api.serff.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "serff-filings-mcp": {
      "url": "https://api.serff.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "serff-filings-mcp": {
      "type": "http",
      "url": "https://api.serff.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "serff-filings-mcp",
  "transport": "streamable-http",
  "url": "https://api.serff.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • search_filings — Search the SERFF filings corpus by carrier, NAIC, product line, state, year-range, filing type, or bureau lineage.
  • search_summary_embeds — Pure vector search over per-filing extraction-summary embeddings (one embedding per filing, ~59K rows total).
  • search_actuarial_embeds — Pure vector search over per-filing actuarial-memorandum embeddings (`extract_embeds` where `kind='actuarial_memo'`).
  • search_filing_embeds — Pure vector search over per-chunk full-document embeddings (`filing_embeds`, ~12.
  • get_filing_extracts — Returns the structured-data JSON artefacts the pipeline extracted from a filing's source PDFs.
  • get_filing_extract_meta — Lists **what's in** each extracted artefact for a filing — section counts, item names, and the page each item came from — without returning any of the bulky factor tables, descriptions, or rate rows themselves.
  • get_filing_summary — Returns an actuarial narrative summary for a single SERFF id — the **Filing Type** header, the **"What This Filing Does"** section (concrete bullet-pointed change list with page citations for Rate / Rule / Form / New Programme / Withdrawal filings), the structured **Description**, and the key references the summary cites.
  • get_filing_references — Returns the predecessor, superseded, and companion filings that **this filing itself** cites in its supporting documentation.